Are Robots Substituting for Surgeons? Published On: 01-05-2023 Some people think it's time before AI can do surgical tasks and human doctors. This article compares the costs of robotic surgery to those of conventional surgery and discusses the potential future dominance of artificial intelligence (AI) over humans in the medical field. Artificial intelligence (AI) is maturing to the point that it may be utilized to facilitate a wide range of clinical procedures. This includes things like making the diagnosis, scanning data, and writing reports. There are hazards connected with adopting AI, even though it can do many of these activities more effectively. The possibility of patient injury is a significant threat. Some skin blemishes, for instance, can be difficult for AI systems to tell apart from cancer. Probably nowhere is this more true than with lung cancer. Despite the risks, some medical professionals see AI as a viable tool for enhancing patient care. Artificial intelligence (AI) has many practical applications, one of which is freeing up doctors from paperwork. Artificial intelligence (AI) can help determine a person's health state by automatically evaluating data from their electronic medical record. Using AI also allows doctors and patients to talk more effectively with one another. It can take audio recordings and turn them into usable information. There is a comprehensive list of AI advancements. Computer vision, machine learning, and natural language processing are examples. Although artificial intelligence (AI) is a remarkable achievement in computer programming, it is still no match for human brainpower. However, there are other ways in which machines facilitate our convenience. In the medical field, for instance, they may treat patients, carry out operations, and provide diagnoses. Plus, they can help with government health initiatives. Compared to humans, AI doesn't get tired and doesn't require a steady stream of new information to function. Remarkably, computers can handle heavy workloads without tiring or making mistakes. An in-depth knowledge of cause and effect is essential for a computer to be considered intelligent. For decades, philosophers, biologists, and physicists have pondered this subject. But thus far, it has eluded us. The physics of AI has only lately been the subject of little research. Although they have made significant progress, genuine breakthroughs may only occur for a few more years.